Horticultural Flower Salvia Splendens Recognition Image Dataset

Currently, horticulture and agricultural management are facing challenges of diverse plant species and difficulty in recognition. Traditional manual recognition methods are time-consuming, labor-intensive, and prone to errors, while existing datasets often lack high-resolution images of certain specific flowers, leading to potential improvement in model recognition accuracy. The purpose of this dataset is to provide high-quality images of Salvia Splendens, addressing challenges in model recognition for this plant. Data collection uses a high-resolution camera in natural light environments, including images under different seasons, times, and weather conditions. Quality control is performed through multiple rounds of annotation and rigorous reviews by an experienced team of horticulturists to ensure data accuracy and consistency. The annotation team comprises 10 botany experts uniformly trained to ensure annotation consistency. Preprocessing includes color correction, size standardization, and background removal, with final storage in JPG format, organized and archived by time and location.